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Algorithms for a Single Hormone Closed-Loop Artificial Pancreas: Challenges Pertinent to Chemical Process Operations and Control
被引:1
作者:
Bequette, B. Wayne
[1
]
Cameron, Faye
[1
]
Baysal, Nihat
[1
]
Howsmon, Daniel P.
[1
]
Buckingham, Bruce A.
[2
]
Maahs, David M.
[2
,3
]
Levy, Carol J.
[4
]
机构:
[1] Rensselaer Polytech Inst, Dept Chem & Biol Engn, 110 Eighth St, Troy, NY 12180 USA
[2] Stanford Univ, 780 Welch Rd,CJ320H MC 5776, Palo Alto, CA 94304 USA
[3] Univ Colorado, Barbara Davis Ctr Diabet, 1775 Aurora Court, Denver, CO 80045 USA
[4] Icahn Sch Med Mt Sinai, 1 Gustave A Levy Pl, New York, NY 10029 USA
来源:
关键词:
artificial pancreas;
glucose control;
type;
1;
diabetes;
TRIAL;
SYSTEMS;
D O I:
10.3390/pr4040039
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
The development of a closed-loop artificial pancreas to regulate the blood glucose concentration of individuals with type 1 diabetes has been a focused area of research for over 50 years, with rapid progress during the past decade. The daily control challenges faced by someone with type 1 diabetes include asymmetric objectives and risks, and one-sided manipulated input action with frequent relatively fast disturbances. The major automation steps toward a closed-loop artificial pancreas include (i) monitoring and overnight alarms for hypoglycemia (low blood glucose); (ii) overnight low glucose suspend (LGS) systems to prevent hypoglycemia; and (iii) fully closed-loop systems that adjust insulin (and perhaps glucagon) to maintain desired blood glucose levels day and night. We focus on the steps that we used to develop and test a probabilistic, risk-based, model predictive control strategy for a fully closed-loop artificial pancreas. We complete the paper by discussing ramifications of lessons learned for chemical process systems applications.
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页数:11
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